Sentence examples for repeatedly iteratively from inspiring English sources
In this study we aim to reveal these hidden geodynamic processes by modeling erosion backward in time by numerically restoring eroded material and calculating the flexural isostatic response repeatedly iteratively until eroded features are filled.
Thus, our algorithm takes these 17,890 putative motifs as the input, and predicts CREs and CRMs by iteratively enriching repeatedly used motif combinatorial patterns though gradually filtering out spurious ones.
Most nonlinear regression algorithms follow the Newton Raphson approach in which the parameters of the model are iteratively estimated by repeatedly finding an optimum direction (first-order optimality) and step-length with which to move the current iterate.
The memory requirements for wKSVD are much larger and correspond to the entire matrix of training signals, O(d N) or O(m N), since the iteratively weighted dictionary update repeatedly accesses residuals, coefficients and masks.
A local search algorithm iteratively seeks solution improvement by repeatedly introducing modifications to the current solution and evaluating the outcome.
Data will be read repeatedly, annotated, and we will write and iteratively revise descriptive memos (analytical notes) to articulate ideas and arguments.
Using the TS game model, users iteratively observed the received payoffs and repeatedly modified their altruistic propensities to effectively manage SC resources.
15 This was achieved through discussion (SM and NK), and by repeatedly comparing emerging analytical themes to descriptive themes and moving iteratively between the raw data and analysis.
In A-CHESS, EMA data was collected repeatedly over the extended treatment period, and a predictive model iteratively determined the probability of weekly relapse risk based on a cumulative record of patient lapse history and current functioning.
The neurons in the hidden and output layers are iteratively modified according to the input signals which are loaded repeatedly to the network until it has been sufficiently trained, which means that the output signals for each input match with the target values (desired properties of each object).
